4-Methyllumifrone (4-MU) can improve learning and memory after cerebral ischemia/reperfusion injury in rats
Tamouk, S.; Mirshekari jahangiri, H.; Kashafi Jahromi, E.; Hamblin, M. R.; Aboutaleb, N.; Ramezani, F.
Show abstract
BackgroundStroke is the sixth leading cause of death and lifelong disability for millions of people in the United States. Cerebral ischemia leads to oxidative stress, excitotoxicity, inflammation, apoptosis; additionally, impairments in memory and learning occur in the majority of subjects with ischemic stroke. The lack of definitive treatment has sparked extensive research into novel therapeutic strategies, including the use of 4-methylumbelliferone (4-MU), a coumarin derivative with potential neuroprotective properties. The present study examines the impact of 4-MU on reducing cerebral ischemia-reperfusion (I/R) injury and learning and memory impairments in male Wistar rats. MethodThe animals were exposed to middle cerebral artery occlusion (MCAO) and were treated with one dose of 4-MU (at a dosage of 25 mg/kg) dissolved in DMSO 0.9%. Automated shuttle box and Morris water maze (MWM) test were employed to evaluate learning and memory impairments. Western blot assay, TTC staining and Nissl staining were used to measure protein expression, infarct volume, and cell death, respectively. ResultsResults showed that treatment with 4-MU reduced infarct volume and improved learning and memory impairments by down-regulating HAS1 and HAS2. 4-MU has been shown to modulate the release of pro-inflammatory cytokines including TNF- and IL-1{beta}, as well as anti-inflammatory markers like IL-10 and also reduced oxidative stress markers in the brain. ConclusionGenerally, the neuroprotective effects of 4-MU against cerebral I/R injury can be attributed to the down-regulation of HAS1 and HAS2.
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Continuous administration of the p38α inhibitor neflamapimod during the subacute phase after transient ischemia-induced stroke in the rat promotes dose-dependent functional recovery accompanied by increase in brain BDNF protein level 97%
- Change in the bladder function of rats with focal cerebral infarction induced by photochemically-induced thrombosis 97%
- Upregulation of interleukin-1β and interleukin-18 in traumatic brain injury patients and their potential as biomarkers 95%
Similar papers in this journal
- High fibrinogen-prealbumin ratio (FPR) predicts stroke-associated pneumonia 96%
- Tryptophan metabolites as biomarkers to predict the severity and prognosis of acute ischemic stroke patients 95%
- Vascular Risk Factor Prevalence and Trends in Native Americans With Ischemic Stroke - A National Inpatient Sample Analysis 92%
Similar papers in this journal
- Cisplatin Induces BDNF Downregulation in Middle-Aged Female Rat Model while BDNF Enhancement Attenuates Cisplatin Neurotoxicity 93%
- Cerebral vascular tortuosity and aneurysm formation and rupture: a novel vessel tortuosity scale 92%
- Dopamine D3 Receptor Ligand Suppresses the Expression of Levodopa-Induced Dyskinesia in Nonhuman Primate Model of Parkinson's Disease 91%
Similar papers in this journal
- The defects of the hippocampal ripples and theta rhythm in depression, and the effects of physical exercise on their amelioration. 94%
- A small H2O-soluble ingredient of royal jelly lower cholesterol levels in liver cells by suppressing squalene epoxidase 93%
- Enhancing NADPH to Restore Redox Homeostasis and Lysosomal Function in G6PD-Deficient Microglia 93%
Similar papers in this journal
- The combination of lipopolysaccharide and D-galactosamine administration show positive genotoxic effect in mice liver 95%
- Immunomodulatory Therapy with Glatiramer Acetate Reduces Endoplasmic Reticulum Stress and Mitochondrial Dysfunction in Experimental Autoimmune Encephalomyelitis 94%
- Effects of different environmental intervention durations on the intestinal mucosal barrier and the brain-gut axis in rats with colorectal cancer 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.